Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 24 for “"biomedical informatics"”.
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Data fusion techniques for biomedical informatics and clinical decision support
"Data fusion can be used to combine multiple data sources or modalities to facilitate enhanced visualization, analysis, detection, estimation, or classification. Data fusion can be applied at the raw-data, feature-based, and decision-based levels. Data fusion applications of different sorts have …
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Enhancing the Data, Information and Knowledge from Proteomics Experiments through Biomedical Informatics
A systems approach to understanding disease begins with data that contains information from which knowledge is developed and ultimately provides wisdom and understanding to human health and disease. Systems biology is a fast growing area of research to promote translational medicine and is …
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(Re)presenting Human Population Database Projects: virtually designing and siting biomedical informatics ventures
… investigate web representations and 'emerging' biomedical projects. My concern however, is not only in what represents what, but how representations are constructed. The power of the latter derives from its invisibility. In re-conceptualizing representation and new media technologies, I show …
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Ontologijų tobulinimo metodų tyrimas /
… engineering, information integration, search, biomedical informatics, navigation and information architecture as a form of knowledge representation about the world or some part of it and are also used for knowledge sharing. Ontologies are used by people, databases, and applications that need to …
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A client-server software application for statistical analysis of fMRI data
… disseminated to researchers across the globe via Biomedical Informatics Research Network (BIRN) portal.
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Translating biomedical research data to knowledge through bioinformatics
… this dissertation, we present the application of biomedical informatics, including data mining and knowledge discovery, to extract knowledge from genomics, transcriptomics, and clinical data. To improve our understanding of biomedical problems such as infectious disease and addiction research, we …
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A Pedagogical Approach to Create and Assess Domain-Specific Data Science Learning Materials in the Biomedical Sciences
… of domain-specific learning materials for the biomedical sciences to meet the educational gap in biomedical informatics, while also meeting the call for statisticians advocating for process improvements in other disciplines. Data science educational materials are plenty enough to become a …
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Motivating Subjects: Data Sharing in Cancer Research
… the U.S. Housed in an organization focused on biomedical informatics, the program has a technologically-focused mission; the goal is to facilitate institutional data sharing to connect the cancer research enterprise. This focus contrasts with the more relationship-based point-to-point data …
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Data Mining Algorithms for Classification of Complex Biomedical Data
… to solve the following three open problems from biomedical informatics: (1) Multi-task approaches for microarray classification; (2) Multi-label classification of gene and protein prediction from multi-source biological data; (3) Spatial scan for movement data. In microarray classification, …
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Building Matlab Standalone Package from Java for Differential Dependence Network Analysis Bioinformatics Toolkit
… Java interface. We use a caBIG™ (Cancer Biomedical Informatics Grid) data analytic toolkit, namely, the DDN (differential dependence network) algorithm as the testbed in the software development. The developed DDN standalone package can be used on any Matlab-supported platform with Java …
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Improving the Timeliness, Accuracy, and Completeness of Mortality Reporting Using FHIR Apps and Machine Learning
There are approximately 56 million deaths per year world-wide, with millions happening in the United States. Accurate and timely mortality reporting is essential for gathering this important public health data in order to formulate emergency response to epidemics and new disease threats, to prevent …
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Using grant applications to measure the evolution of collaborative and non-collaborative research
… properties of collaboration and collaborators of biomedical research grants by finding patterns underlying semantic representations of text, using three research questions: 1) Is the degree of change in the research question smaller between projects of the same collaboration status than among …
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Toward Nonparametric Propensity Score Estimation With Guaranteed Covariate Balance
<p><em> Establishing clear causality between exposures and outcomes is often complicated </em><em>by confounders in observational studies, which leads to imbalance in covariate distributions </em><em>between treatments and biased treatment effect inference. The propensity score </em><em>(PS) has …
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Leveraging Genomic Information for Safer Gene Therapy
<p>Gene therapy holds enormous potential for the treatment of genetic disorders, which are caused by mutations in DNA disrupting normal gene function. These mutations can be monogenic, affecting a single gene, or polygenic, involving multiple genes. Since, the first gene therapy treatment for SCID …
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Needs-driven, utility-oriented, standards-based operationalization of artificial intelligence for clinical decision support: a framework with application to suicide prevention
… benefits they confer. To achieve this utility, informatics efforts are needed before, during, and after predictive model development, to mediate effective, sustainable, and interoperable AI deployment to support clinical workflows. In this work, I investigated how human-centered design methods, …
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Identifying and Minimizing Underspecification in Breast Cancer Subtyping
<p>In the realm of biomedical technology, both accuracy and consistency are crucial to the development and deployment of these tools. While accuracy is easy to measure, consistency metrics are not so simple to measure, especially in the scope of biomedicine where prediction consistency can be …
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Single cell and spatial analysis characterize metabolic DPEP1+ fibroblasts in PDAC
<p>Pancreatic ductal adenocarcinoma (PDAC) is highly malignant and exhibits aggressive progression patterns, resists conventional treatments, and poses significant challenges to patient survival, necessitating urgent research and development of novel therapeutic approaches. Understanding …
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Single Cell Proteogenomics Analysis of AML Samples Treated with Decitabine and Venetoclax Reveals Divergent Treatment Escape Mechanisms
<p> Venetoclax is a small molecule inhibitor targeting BCL-2. Since its approval, the combination therapy of hypomethylating agents and Venetoclax (HMA+Ven) has become a standard of care for acute myeloid leukemia (AML) patients unfit for intensive chemotherapy. Nonetheless, clinical challenges …
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Acute Pain Prediction in Oral Cavity and Oropharyngeal Cancer Patients Receiving Radiation Therapy
<p>Oral-Cavity and oropharyngeal cancers (OC/OPC) are types of head and neck cancers that are increasing in incidence domestically. Radiation therapy (RT) is crucial in OC/OPC management. Pain is a common and challenging symptom for most patients during therapy, as nearly all patients undergoing …
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Multiparametric Magnetic Resonance Imaging Artificial Intelligence Pipeline For Oropharyngeal Cancer Radiotherapy Treatment Guidance
<p>Oropharyngeal cancer (OPC) is a widespread disease and one of the few domestic cancers that is rising in incidence. Radiographic images are crucial for assessment of OPC and aid in radiotherapy (RT) treatment. However, RT planning with conventional imaging approaches requires operator-dependent …
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